Smart Reconfiguration in Smart Distribution Grids by Using Of the New Optimization Method: Big Bang-Big Crunch

This paper presents a control framework for smart reconfiguration in smart distribution grids. The control framework is based on peer-to-peer communications and on Incident Command System. This control framework requires an optimization algorithm in order to make a decision. In this paper, Big Bang-Big Crunch (BB-BC) algorithm is modified (Modify BB-BC) to deal with the reconfiguration problems. MBB-BC algorithm in the decision center of the control framework helps achieve the near minimum power loss of smart distribution grids. The control framework can lead to smart and better control. Also, two well-known distribution systems are selected to demonstrate the efficiency of the optimization algorithm used in the control framework. MBB-BC is compared with Big Bang-Big Crunch and other optimization methods including Genetic Algorithm and Ant Colony Optimization. In addition, the simulation results show that this method is more effective compared to other optimization algorithms, especially BB-BC.